Abstract
Products, services, among many other things in life have a quality standard, are inclusive, or do not harm customers. Regulations required from their manufacturers or providers make it possible. This type of requirement also exists in the finance sector. Governments, international agencies, or civil institutions are responsible for creating, applying, and inspecting these regulations. Regulators from all spheres (federal, state, and municipal) constantly demand changes in the finance sector to meet current needs adequately. This paper presents the constant evolution of a banking compliance application in Brazil. It aims to classify the relevance or irrelevance of regulatory documents published by more than 100 Brazilian regulators, affecting the businesses of more than 40 departments of Banco do Brasil. The application uses a hybrid strategy, combining machine learning and rules for a binary classification challenge involving each company department. This work also presents a particular type of corpus imbalance called The Imbalance Within Class.
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de Azevedo, R.F. et al. (2022). Banking Regulation Classification in Portuguese. In: Pinheiro, V., et al. Computational Processing of the Portuguese Language. PROPOR 2022. Lecture Notes in Computer Science(), vol 13208. Springer, Cham. https://doi.org/10.1007/978-3-030-98305-5_13
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